| User | VitorGTW1 |
| Upload Date | March 29 2026 04:28 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7526
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7206
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
19523
3.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10966
177.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10168
164.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27582
447.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34165
39.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33851
39.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
133466
156.3 IPS |
|
|
Object Detection (SP)
|
100% |
9152
725.9 IPS |
|
|
Object Detection (HP)
|
100% |
8847
701.8 IPS |
|
|
Object Detection (Q)
|
88% |
21665
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
21160
251.4 IPS |
|
|
Face Detection (HP)
|
100% |
20982
249.3 IPS |
|
|
Face Detection (Q)
|
100% |
55417
658.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27191
209.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28148
216.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
71469
556.2 IPS |
|
|
Style Transfer (SP)
|
100% |
87218
112.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85000
109.3 IPS |
|
|
Style Transfer (Q)
|
98% |
305091
393.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16150
596.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15622
576.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40834
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
4558
6.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4781
6.38 KIPS |
|
|
Text Classification (Q)
|
92% |
5747
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
9054
156.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8909
153.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8985
154.8 IPS |